Post-hoc Explanation Options for XAI in Deep Learning: The Insight Centre for Data Analytics Perspective. - Eoin M. Kenny; Eoin D. Delaney; Derek Greene; Mark T. Keane (ICPR Workshops (3), 2020)

Nearest Neighbour-Based Data Augmentation for Time Series Forecasting. - Duncan Wallace; Eoin Delaney; Mark T. Keane; Derek Greene (AICS, 2021)

Instance-Based Counterfactual Explanations for Time Series Classification. - Eoin Delaney; Derek Greene; Mark T. Keane (ICCBR, 2021)

If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. - Mark T. Keane; Eoin M. Kenny; Eoin Delaney; Barry Smyth (IJCAI, 2021)

Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions. - Eoin Delaney; Derek Greene; Mark T. Keane (CoRR, 2021)

Case-based Explanations for Black-Box Time Series and Image Models with Applications in Smart Agriculture. - Eoin Delaney (ICCBR Doctoral Consortium, 2022)

Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI. - Eoin Delaney; Derek Greene; Laurence Shalloo; Michael Lynch; Mark T. Keane (ICCBR, 2022)

Advancing Post-Hoc Case-Based Explanation with Feature Highlighting. - Eoin M. Kenny; Eoin Delaney; Mark T. Keane (IJCAI, 2023)

Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals. - Greta Warren; Mark T. Keane; Christophe Guéret; Eoin Delaney (CoRR, 2023)

Counterfactual explanations for misclassified images: How human and machine explanations differ. - Eoin Delaney; Arjun Pakrashi; Derek Greene; Mark T. Keane (Artif. Intell., 2023)

Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint). - Eoin Delaney; Arjun Pakrashi; Derek Greene; Mark T. Keane (AAAI, 2024)

Explaining Multiple Instances Counterfactually:User Tests of Group-Counterfactuals for XAI. - Greta Warren; Eoin Delaney; Christophe Guéret; Mark T. Keane (ICCBR, 2024)

OxonFair: A Flexible Toolkit for Algorithmic Fairness. - Eoin Delaney; Zihao Fu; Sandra Wachter; Brent D. Mittelstadt 002; Chris Russell 001 (NeurIPS, 2024)

Resource-constrained Fairness. - Sofie Goethals; Eoin Delaney; Brent D. Mittelstadt 002; Chris Russell 001 (CoRR, 2024)

Evaluating Model Explanations without Ground Truth. - Kaivalya Rawal; Zihao Fu; Eoin Delaney; Chris Russell 001 (FAccT, 2025)